Accretive growth kinematics via null evolution curve

2020 ◽  
Vol 43 (18) ◽  
pp. 10430-10440
Author(s):  
Zehra Özdemir ◽  
Gül Tuğ
Keyword(s):  
Evolution Curve

scholarly journals Modeling the cyclic plasticity behavior of 42CrMo4 steel with an isotropic model calibrated on the whole shape of the evolution curve

2020 ◽  
Vol 28 ◽  
pp. 53-60
Author(s):  
Jelena Srnec Novak ◽  
Marina Franulović ◽  
Denis Benasciutti ◽  
Francesco De Bona
Keyword(s):  
Cyclic Plasticity ◽  
Isotropic Model ◽  
42Crmo4 Steel ◽  
Evolution Curve

scholarly journals A Fast Region-Based Segmentation Model with Gaussian Kernel of Fractional Order

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Bo Chen ◽  
Qing-Hua Zou ◽  
Wen-Sheng Chen ◽  
Yan Li
Keyword(s):  
Fractional Order ◽  
Energy Function ◽  
Active Contour ◽  
Active Contour Model ◽  
Gaussian Kernel ◽  
Proposed Model ◽  
Function Expression ◽  
Local Mean ◽  
Geometric Active Contour ◽  
Evolution Curve

By summarizing some classical active contour models from the view of level set representation, a simple energy function expression with the Gaussian kernel of fractional order is proposed, and then a novel region-based geometric active contour model is established. In this proposed model, the energy function with value of [−1, 1] is built, the local mean and global mean of the inside and outside of the evolution curve are employed, and the segmentation results are obtained by controlling the expansion and contraction of the evolution curve. The model is simple and easy to implement; it can also protect weak edges because of considering more statistical information. Experimental results on synthetic and natural images show that the proposed model is much more effective in dealing with the images with weak or blurred edges, and it takes less time.

scholarly journals An Energy-Based Concept for Yielding of Multidirectional FRP Composite Structures Using a Mesoscale Lamina Damage Model

Polymers ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 157 ◽  
Author(s):  
Seyed Rahimian Koloor ◽  
Atefeh Karimzadeh ◽  
Noorfaizal Yidris ◽  
Michal Petrů ◽  
Majid Ayatollahi ◽  
...  
Keyword(s):  
Yield Point ◽  
Composite Structures ◽  
Failure Modes ◽  
Initial Slope ◽  
Dissipation Energy ◽  
Fiber Failure ◽  
Damage Initiation ◽  
Frp Composite ◽  
Structural Applications ◽  
Evolution Curve

Composite structures are made of multidirectional (MD) fiber-reinforced polymer (FRP) composite laminates, which fail due to multiple damages in matrix, interface, and fiber constituents at different scales. The yield point of a unidirectional FRP composite is assumed as the lamina strength limit representing the damage initiation phenomena, while yielding of MD composites in structural applications are not quantified due to the complexity of the sequence of damage evolutions in different laminas dependent on their angle and specification. This paper proposes a new method to identify the yield point of MD composite structures based on the evolution of the damage dissipation energy (DDE). Such a characteristic evolution curve is computed using a validated finite element model with a mesoscale damage-based constitutive model that accounts for different matrix and fiber failure modes in angle lamina. The yield point of composite structures is identified to correspond to a 5% increase in the initial slope of the DDE evolution curve. The yield points of three antisymmetric MD FRP composite structures under flexural loading conditions are established based on Hashin unidirectional (UD) criteria and the energy-based criterion. It is shown that the new energy concept provides a significantly larger safe limit of yield for MD composite structures compared to UD criteria, in which the accumulation of energy dissipated due to all damage modes is less than 5% of the fracture energy required for the structural rupture.

scholarly journals Research on Fatigue Strain and Fatigue Modulus of Concrete

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Fangping Liu ◽  
Jianting Zhou
Keyword(s):  
Strain Analysis ◽  
Correlation Coefficients ◽  
Vital Role ◽  
Evolution Model ◽  
Linear Change ◽  
Advantages And Disadvantages ◽  
Strain Evolution ◽  
Left Corner ◽  
The Impact ◽  
Evolution Curve

Concrete fatigue strain and fatigue modulus evolution play a vital role in the evaluation of the material properties. In this paper, by analyzing the advantages and disadvantages of existing concrete strain analysis methods, the level-S nonlinear fatigue strain model was proposed. The parameters’ physical meaning, the ranges, and the impact on the shape of the curve were all discussed. Then, the evolution model of fatigue modulus was established based on the fatigue strain evolution model and the hypothesis of fatigue modulus inversely related fatigue strain amplitude. The results indicate that the level-S model covered all types of fatigue strain evolution. It is very suitable for the description of strain evolution of concrete for its strong adaptability and high accuracy. It was found that the fitting curves coincided with the experimental curves very well, and the correlation coefficients were all above 0.98. The evolution curves of fatigue strain modulus both have three stages, namely, variation phase, linear change stage, and convergence stage. The difference is that the fatigue strain evolution curve is from the lower left corner to the upper right corner, but the fatigue modulus evolution curve is from the upper left corner to the right lower corner.

scholarly journals PENGEMBANGAN BISNIS PADA STARTUP TEMANRINDU DENGAN METODE STARTUP EVOLUTION CURVE

AdBispreneur ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 317
Author(s):  
Rasyid Yudhistira ◽  
Yuniaristanto Yuniaristanto ◽  
Muhammad Hisjam
Keyword(s):  
Social Interactions ◽  
Feasibility Study ◽  
Market Segmentation ◽  
Business Development ◽  
Added Value ◽  
Business Growth ◽  
Technological Developments ◽  
Almost All ◽  
Sales Funnel ◽  
Evolution Curve

Technological developments have made it easier for people to use social networks. Almost all people of productive age use the internet in their social interactions. The purpose of this research is primarily to provide a platform for TemanRindu to make its product prototype appropriately with the Lean Canvas business model and so  Startup Evolution Curve as its method. The main principles of Startup Evolution Curve are providing step-by-step guidance in company discussions,  business development of TemanRindu by Feasibility Study especially on market aspect so that shown the segment and position TemanRindu itself. Product prototyping or Minimum Viable Product (MVP) start from doing hypothesis verification that will be used on MVP adjustment. Slogan making and pipe and sales funnel are also be done that lately will be used to planning the marketing strategy.  This method has succeeded on generating of TemanRindu’s market segmentation and positioning as well as the making of product prototype in the form of Instagram design based on Lean Canvas design. Its affect on  increasing of business growth in followers, likes, comments and saves because the product has been more adapted to customer needs without reducing the added value that offered.Perkembangan teknologi menyebabkan semakin mudahnya masyarakat dalam menggunakan jejaring sosial. Hampir keseluruhan masyarakat usia produktif memakai internet dalam interaksi sosialnya. Tujuan dari penelitian ini adalah menyediakan sarana untuk startup TemanRindu dalam membuat prototipe produk bisnisnya dengan model bisnis Lean Canvas secara tepat dan dengan metode Startup Evolution Curve. Prinsip utama dari Startup Evolution Curve adalah memberikan arahan per tahap dalam diskusi perusahaan, dan pengembangan bisnis startup TemanRindu melalui Feasibility Study pada aspek pasar sehingga memberikan gambaran terhadap segmen dan posisi daripada TemanRindu. Pembuatan prototipe produk atau Minimum Viable Product (MVP) dilakukan dari verifikasi hipotesis yang akan digunakan pada penyesuaian MVP. Pembuatan slogan hingga uji komunikasi dan saluran distribusi juga dilakukan yang kemudian dapat digunakan untuk menentukan strategi pemasaran. Pengaplikasian metode tersebut berhasil menghasilkan pemetaan daripada segmentasi dan posisi TemanRindu di pasar dan juga terciptanya prototipe produk TemanRindu berupa desain kiriman Instagram yang berdasarkan atas rancangan Lean Canvas. Dampaknya pertumbuhan bisnis naik, baik pada followers, likes, comment maupun save karena produk telah lebih disesuaikan dengan kebutuhan pelanggan tanpa mengurangi nilai lebih yang ditawarkan TemanRindu.  

Image Segmentation Based on Fractional Differentiation and RSF Model

2017 ◽  
Author(s):  
Guimei Zhang ◽  
Yangang Zhu ◽  
Jianxin Liu ◽  
YangQuan Chen
Keyword(s):  
Image Segmentation ◽  
Active Contour ◽  
Active Contour Model ◽  
Intensity Inhomogeneity ◽  
Fractional Differentiation ◽  
Contour Model ◽  
Texture Region ◽  
Initial Location ◽  
Evolution Curve ◽  
Weak Texture

Intensity inhomogeneity or weak texture region image segmentation plays an important role in computer vision and image processing. RSF (Region-Scalable Fitting) active contour model has been proved to be an effective method to segment intensity inhomogeneity. However RSF model is sensitive to the initial location of evolution curve , it tends to fall into local optimal. Aiming at the problem, this paper proposed a new method for image segmentation based on fractional differentiation and RSF model. The proposed method adds the global Grünwald-Letnikov fractional gradient into the RSF model. Thus the gradient of the intensity inhomogeneity and weak texture regions is strengthened. As a result, both the robustness of initial location of evolution curve and efficiency of image segmentation are improved. Theoretical analysis and experimental results demonstrate that the proposed algorithm is capable of segmenting the intensity inhomogeneities and weak texture images. It is robust to curve initial location, furthermore the efficiency of segmentation is improved.

LINGUISTIC REPRESENTATION OF FUZZY TEMPORAL PROFILES

1999 ◽  
Vol 07 (03) ◽  
pp. 243-256 ◽  
Author(s):  
PAULO FÉLIX ◽  
SANTIAGO FRAGA ◽  
SENÉN BARRO ◽  
ROQUE MARÍN
Keyword(s):  
Physical Parameter ◽  
Temporal Evolution ◽  
Temporal Profile ◽  
Linguistic Representation ◽  
Linear Sections ◽  
Definition Of ◽  
Temporal Profiles ◽  
Evolution Curve

We take as a setting point the Fuzzy Temporal Profile (FTP) model, which is used to describe the temporal evolution of a certain physical parameter. This model defines the approximation of an evolution curve by means of a set of linear sections between a series of significant points (X0, X1, …, XN), and in which each section is defined by means of an imprecise constraint on the duration, the increase in value and the slope between the points connected by the section. Following the FTP model we present a language for the representation of trends, the semantics of which is projected onto a fuzzy definition of each one of the constraints of a profile of interest.

scholarly journals A New Open Curve Detection Algorithm for Extracting the Laser Lines on the Road

2011 ◽  
Vol 2-3 ◽  
pp. 205-210 ◽  
Author(s):  
Hui Jie Fan ◽  
Li Po Zhao ◽  
Si Yuan He ◽  
Yan Dong Tang
Keyword(s):  
Detection Algorithm ◽  
Road Surface ◽  
Laser Line ◽  
The Road ◽  
Curve Detection ◽  
Comparison Results ◽  
Open Curve ◽  
On The Road ◽  
Laser Rays ◽  
Evolution Curve

This paper proposes a new open curve detection algorithm for recognizing the laser rays on the road to verify the roughness of the road surface by parsing the curvature of the laser rays. The laser line in the image is first enhanced by the bright line enhance filtering to remove the clutters generated by the background. The enhanced line has the characteristics that its gray value is greater than that of background, so the established energy functional in open curve detection process has a gray value constraint to drive the evolution curve to the brightest place in image. The line on the road surface is an open curve throughout the whole image, so we fixed the two endpoints of the evolution curve to maintain it is an open curve in curve evolution. Moreover, we design an edge inhibit operator to restrain the influence of objects edges to ensure the accuracy of the test laser line. We compared our algorithm with the edge detection operators, and the comparison results showed that our method is more accurate and more robustness to the background.

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